The main objective of the research activity covered by the present thesis is the design of an Autonomous Surface Vehicle for the monitoring of environmental areas characterised by shallow water, difficult access and harsh environment, namely the Wetlands. Wetlands are those geographic areas where water meets the earth that cover between 5 and 8% of the Earth’s surface. Wetlands include mangrove zones, swamps, bogs and marshes, rivers and lakes, alluvial plains and flooded forests, shallow coasts and coral reefs. In recent years, their importance is becoming more and more recognized and various international conventions, directives and projects work on their protection. Their importance is related to the fact that these areas are essential ecosystems considered among the world’s most productive environment. Classified as natural purification systems and carbon resources for fauna, Wetlands provide the water and productivity upon which biological diversity relies for the growth of an enormous amount of species of plants and animals. Their importance is also related to human activities since Wetlands can be exploited commercially for fishing but especially become important when thinking that the protection of these areas can also help fighting the disasters resulting from human impact on the environment and its role in the climate change. The lack of a hydro-graphic vessels capable of performing shallow water measurements at depths of less than 1m has led to unreliable maps and data, thus motivating research on innovative technical approaches for executing the tasks of water sampling, limnological surveys, bathymetric analyses and monitoring of water quality. In recent years a variety of robotic approaches to improve the quality, speed, and accessibility of surveys have been explored by research groups using both commercial and ad-hoc solutions. In this thesis a prototype of Autonomous Surface Vehicle (ASV) named SWAMP (Shallow Water Autonomous Multipurpose Platform) is proposed as the base for an innovative class ...


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    Titel :

    Study of innovative autonomous marine vehicles for monitoring in remote areas and shallow waters The Shallow Water Autonomous Multipurpose Platform (SWAMP)



    Erscheinungsdatum :

    2020-04-28


    Anmerkungen:

    doi:10.15167/odetti-angelo_phd2020-04-28



    Medientyp :

    Hochschulschrift


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



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